Application of Source-Sink Landscape Influence Values to Commuter Traffic: A Case Study of Xiamen Island

Application of Source-Sink Landscape Influence Values to Commuter Traffic: A Case Study of Xiamen Island
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DOI:
10.3390/su9122366
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发表时间:
2017-12
期刊:
影响因子:
3.9
通讯作者:
Tong Wu;L. Tang;Huaxiang Chen;Ziyan Wang;Q. Qiu
Tong Wu;L. Tang;Huaxiang Chen;Ziyan Wang;Q. Qiu
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Tong Wu;L. Tang;Huaxiang Chen;Ziyan Wang;Q. Qiu

文献摘要

相似文献

景观格局与生态过程密切相关。不同的空间尺度和研究方法可能导致不同的结果。因此,在研究不同的景观格局和生态过程时,选择合适的研究方法至关重要。本研究运用源汇景观理论的方法,对厦门岛主干道周边城市景观特征与通勤交通行为的相互作用进行了研究。利用IKONOS卫星遥感影像和ArcGIS软件(ESRI, Redlands, CA, USA)对土地利用类型进行分类后,利用源汇景观影响(SLI)对主干道周围(1 km以内)区域的景观格局进行评价。结果表明:厦门岛城市高速公路的SLI值最高(0.191),其次是国道(0.067)、省道(0.030)和县道(0.025);在考虑所有道路类型时,道路SLI值与其通勤交通流的相关系数为0.684。结果表明:(1)各景观格局核心区对交通流量的贡献与交通流量呈显著正相关;(2)城市高速公路和国道周边地区的Shannon多样性指数较低,表明这些地区的景观破碎化程度较低。(3)城市高速公路和国道周边景观格局较其他道路类型更为集中和复杂。源汇景观格局理论的应用使研究者能够整合道路周边景观格局与道路通勤交通流之间的关系,并分析这些关系形成的原因。
Landscape patterns are closely related to ecological processes. Different spatial scales and research methods may lead to different results. Therefore, it is crucial to choose suitable research methods when studying different landscape patterns and ecological processes. In the present study, the methods of source-sink landscape theory were applied to the interactions between urban landscape characteristics and commuter traffic behavior around the arterial roads in Xiamen Island. After classification of land use types using remote sensing images from the IKONOS satellite and ArcGIS software (ESRI, Redlands, CA, USA), the landscape patterns of areas surrounding arterial roads (within 1 km) were evaluated using source-sink landscape influence (SLI). The results showed that Xiamen Island’s urban expressway had the highest SLI value (0.191), followed by the state highways (0.067), the provincial highways (0.030), and the county roads (0.025). When considering all road types, the correlation between a road’s SLI value and its commuter traffic flow was 0.684. This result was explained by three observations: (1) The contribution of the core area of each landscape pattern to traffic flow was positively correlated with the traffic flow. (2) Areas surrounding the urban expressway and the state highways had lower values for Shannon’s diversity index, indicating that these areas had a lower degree of landscape fragmentation. (3) The landscape patterns surrounding the urban expressway and the state highways were more concentrated and complex than those around other road types. The application of source-sink landscape pattern theory allows for researchers to integrate the relationships between landscape patterns surrounding roads and commuter traffic flow on those roads and to analyze the reasons for these relationships.